Applied AI Engineer

Paires; United States; Remote; GBP 106,000 - 176,000; Full time

Benefits offered by this job

Fully remote

Job summary

Paires is hiring an Applied AI Engineer to own the conversation layer of an AI-first fundraising platform. You will design and maintain agents that handle replies, booking, nurture, and relationships across warm outreach, investor network, and investor relations.

This role focuses on production systems, not a research project. You will build end-to-end conversational agents, from inbound messages to human-in-the-loop approvals, and create broader applied-AI features such as classification,

Qualifications

• Ship conversational LLM systems to production with real users.
• Built evals from scratch: golden sets, judge criteria, and decisions based on metrics.
• Integrated LLMs with email, CRM, or messaging systems.
• Think like an operator and align messaging with business goals.
• Engineer-first approach; balance 80/20 between engineering and research.

Responsibilities

• Own agents that read inbound messages and draft the right reply, fast, with a human in the loop.
• Own the messaging layer across our warm outreach, investor network, and investor relations.
• End-to-end conversational agents: replies, booking, nurture, and support that reads human.
• Develop the eval spine that gates quality with golden sets and guardrails.
• Broaden applied-AI features: classification, extraction, routing, summarization.

Skills

LLM systems

Eval design

CRM integration

Operational mindset

Engineering focus

Tools

Python

Supabase

Pydantic AI

Claude Agent SDK

AWS

Job description

We are hiring an Applied AI Engineer to own the conversation layer of an AI-first fundraising platform: the agents that handle every reply, carry conversations through to booked meetings, and look after every relationship across our warm outreach, our investor network, and investor relations.

Paires is where founders come to raise capital. We pair them with the right investors from a large, engaged global investor network, then our agents run the warm outreach and manage the relationships that turn into meetings. It is a two-sided platform, live with paying clients, profitable and self-funded, built by a small, senior, flat team that ships fast.

The role

You own how Paires converses: every reply handled well and in time, booking, nurture, and the coaching experiences we are building on the same data. It starts as our reply and messaging system and grows into a core part of the product. You will also build broader applied-AI features across the platform. What this seat is not: a research seat. An internal knowledge bot or a RAG demo is not the bar. We want people whose systems hold real conversations with real people outside their team, day after day. Cold outreach from nothing is a different seat too - here the conversations already exist, and your agents carry them.

What you will own

• Agents that read inbound messages and draft the right reply, fast, with a human in the loop.
• The messaging layer across our warm outreach, our warm investor network, and investor relations, not just one inbox.
• Conversational agents end to end: replies, booking, nurture, and support that reads human.
• The eval spine that gates quality: golden sets, judges, and the guardrails that hold as the conversations grow.
• Broader applied-AI features: classification, extraction, routing, summarization.

You are a fit if you

• Ship conversational LLM systems to production with real users: reply handling, support, booking, or nurture agents. Inbound work counts fully here.
• Have built evals yourself: golden sets from scratch, judge criteria, ship or rollback decisions made on the numbers.
• Have integrated LLMs with email, CRM, or messaging systems.
• Think like an operator, and know the business goal behind the message.
• Are an engineer first. We run roughly 80/20 engineering to research.
• Move fast with AI tooling and own outcomes.
• Our stack: Python, Supabase, Pydantic AI, Claude Agent SDK, AWS. If you have shipped on any of it, lead with that. Bonus: email and CRM integrations, RevOps exposure, sales or IR experience.

What we offer

Fully remote and async. Your day overlaps with US Eastern time for a few hours - not full US hours. Meetings batch on Mondays and Thursdays, the rest is deep work. The best AI tooling, paid (Claude Code, Cursor, top models).

Compensation Range: CA$200K - CA$330K